19 citations · 46 across the 26 of their papers we have counts for
6 papers · 1 filter
Sufficient-Statistic Memory AMP
Lei Liu, Shunqi Huang, YuZhi Yang +2
Approximate message passing (AMP) type algorithms have been widely used in the signal reconstruction of certain large random linear systems. A key feature of the AMP-type algorithm…
Memory Approximate Message Passing
Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian distributions. However, AMP o…
Irregularly Clipped Sparse Regression Codes
Wencong Li, Lei Liu, Brian M. Kurkoski
Recently, it was found that clipping can significantly improve the section error rate (SER) performance of sparse regression (SR) codes if an optimal clipping threshold is chosen.…
Construction D' Lattices for Power-Constrained Communications
Fan Zhou, Brian M. Kurkoski
Designs and methods for nested lattice codes using Construction D' lattices for coding and convolutional code lattices for shaping are described. Two encoding methods and a decodin…
Encoding and Decoding Construction D' Lattices for Power-Constrained Communications
Fan Zhou, Arini Fitri, Khoirul Anwar +1
This paper focuses on the encoding and decoding of Construction D' coding lattices that can be used with shaping lattices for power-constrained channels. Two encoding methods and a…
Design of Polar Code Lattices of Small Dimension
Obed Rhesa Ludwiniananda, Ning Liu, Khoirul Anwar +1
Polar code lattices are formed from binary polar codes using Construction D. In this paper, we propose a design technique for finite-dimension polar code lattices. The dimension $n…